Deteksi Vital Sign Menggunakan Radar Continuous Wave (CW) Berbasis Variational Mode Decomposition (VMD) pada Infant Warmer

Ramadani, Nila Adistya Suci (2024) Deteksi Vital Sign Menggunakan Radar Continuous Wave (CW) Berbasis Variational Mode Decomposition (VMD) pada Infant Warmer. Other thesis, Institut Teknologi Sepuluh Nopember.

Text 5023201028-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 October 2026. Download (8MB) | Request a copy

Abstract

Berdasarkan data dari World Health Organization (WHO), pada tahun 2022 terdapat 2,3 juta bayi yang meninggal saat baru lahir, dengan hampir 47% kematian terjadi pada periode neonatal. Tingginya angka kematian ini disebabkan oleh kurangnya kualitas perawatan saat baru lahir, termasuk perlindungan termal dan pemantauan tanda vital seperti detak jantung dan laju pernapasan. WHO merekomendasikan penggunaan infant warmer untuk menjaga suhu tubuh bayi tetap stabil dan optimal, yang juga membantu mengurangi risiko kematian dan morbiditas pada bayi baru lahir. Penelitian ini mengusulkan pengembangan sistem deteksi tanda vital menggunakan teknologi radar Continuous Wave (CW) berbasis Variational Mode Decomposition (VMD) untuk digunakan pada infant warmer. Teknologi radar CW dipilih karena mampu mendeteksi tanda vital tanpa kontak fisik, mengurangi risiko infeksi, dan memberikan pemantauan yang lebih nyaman bagi bayi. Sistem ini dirancang untuk mendeteksi detak jantung (HR) dan laju pernapasan (BR) bayi secara non-invasif, menggunakan teknik dekomposisi sinyal VMD untuk memisahkan sinyal menjadi berbagai mode dengan karakteristik frekuensi yang berbeda. Pengembangan sistem meliputi desain perangkat keras yang terdiri dari rangkaian regulator, adder, amplifier, dan ADC, serta perangkat lunak untuk pemrosesan sinyal menggunakan metode demodulasi arctangent dan VMD. Pengujian dilakukan dalam beberapa tahap untuk memastikan akurasi dan keandalan sistem dalam mendeteksi dan menganalisis tanda vital bayi. Hasil pengujian menunjukkan bahwa radar CW mampu mendeteksi detak jantung dan laju pernapasan dengan akurasi tinggi. Evaluasi akurasi menggunakan Mean Absolute Percentage Error (MAPE) menunjukkan bahwa rata-rata MAPE untuk HR adalah 3.53% dalam kondisi subjek diam dan 6.52% dalam kondisi subjek bergerak. Untuk BR, rata-rata MAPE adalah 8.55% dalam kondisi subjek diam dan 10.30% dalam kondisi subjek bergerak.
=================================================================================================================================
According to data from the World Health Organization (WHO), in 2022, 2.3 million newborns died, with nearly 47% of these deaths occurring during the neonatal period. The high mortality rate is attributed to inadequate quality of care at birth, including thermal protection and monitoring of vital signs such as heart rate and breathing rate. WHO recommends the use of infant warmers to maintain the newborn's body temperature at stable and optimal levels, which also helps reduce the risk of death and morbidity in newborns. This study proposes the development of a vital sign detection system using Continuous Wave (CW) radar technology based on Variational Mode Decomposition (VMD) to be used with infant warmers. CW radar technology was chosen for its ability to detect vital signs without physical contact, thereby reducing the risk of infection and providing more comfortable monitoring for the infant. The system is designed to non-invasively detect the heart rate (HR) and breathing rate (BR) of the infant, using VMD signal decomposition techniques to separate the signal into various modes with different frequency characteristics. The system development includes the design of hardware consisting of regulator, adder, amplifier, and ADC circuits, as well as software for signal processing using arctangent demodulation and VMD. Testing was conducted in several stages to ensure the accuracy and reliability of the system in detecting and analyzing the infant's vital signs. The results showed that CW radar could accurately detect heart rate and breathing rate. The accuracy evaluation using Mean Absolute Percentage Error (MAPE) indicates that the average MAPE for HR is 3.53% in stationary subjects and 6.52% in moving subjects. For BR, the average MAPE is 8.55% in stationary subjects and 10.30% in moving subjects.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	radar biomedis, detak jantung bayi, laju pernapasan bayi, variational mode decomposition, biomedical radar, baby’s heart rate, baby’s breathing rate
Subjects:	R Medicine > R Medicine (General) > R856.2 Medical instruments and apparatus. R Medicine > RJ Pediatrics > RJ101 Child Health. Child health services T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK6564 Radio transmitter-receivers T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.674 Detectors. Sensors T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7871.6 Antennas (Electronics) T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7878 Electronic instruments
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Biomedical Engineering > 11410-(S1) Undergraduate Thesis
Depositing User:	Nila Adistya Suci Ramadani
Date Deposited:	22 Aug 2024 03:16
Last Modified:	22 Aug 2024 03:16
URI:	http://repository.its.ac.id/id/eprint/112749

Actions (login required)

View Item